All regions
Region · #3 of 12 for Jevons exposure
South West.
2.2M workers, 9.1% of the UK total. Weighted AI exposure 4.63/10, demand elasticity 5.4/10, projected 2035 outlook +3%. 47.5% female. SOC-joined from soc_regional × soc_gender × elasticity.json.
Jevons cohort
16.7%
374.1K workers · UK avg 15.3%
Anti-Jevons cohort
17.5%
#11 of 12 · UK avg 19.7%
Women at risk
168.4K
15.8% of regional female workforce in exp≥7 + elast≤4
Avg pay
£34,056
Workforce-weighted across 20+ roles
Exposure / Elasticity
4.63 / 5.4
Higher exposure × lower elasticity ⟹ at-risk
Zone composition
Where the South West workforce lives in the AI split.
Total 2.2M workers
Grows with AI
18.3% · 409.1K
Hands-on, growing
16.3% · 365.0K
Could go either way
9.2% · 206.4K
Mixed signals
34.8% · 779.9K
Shrinks with AI
17.5% · 392.4K
Barely exposed
3.9% · 86.7K
Top Jevons roles
Where AI is expanding total demand in this region.
Business project manager
22.2K workers · exp 7 · elast 7.5
+10%
Network manager
20.9K workers · exp 7 · elast 7.5
+10%
Business development manager
10.8K workers · exp 6 · elast 8.5
+12%
Sales manager
10.8K workers · exp 6 · elast 7.5
+8%
App developer
8.8K workers · exp 9 · elast 8.5
+17%
Artificial intelligence (AI) engineer
8.8K workers · exp 9 · elast 9.5
+22%
Computer games developer
8.8K workers · exp 9 · elast 9
+20%
Software developer
8.8K workers · exp 9 · elast 9
+20%
Web developer
8.8K workers · exp 9 · elast 9
+20%
Aerospace engineer
8.5K workers · exp 6 · elast 7.5
+8%
Top Anti-Jevons roles
Where AI replaces labour at fixed total demand.
Admin assistant
43.2K workers · exp 9 · elast 2
-15%
Customer service assistant
38.4K workers · exp 7 · elast 2.5
-10%
Bank manager
31.3K workers · exp 7 · elast 3.5
-6%
Bookkeeper
14.9K workers · exp 9 · elast 3.5
-7%
Payroll administrator
14.9K workers · exp 9 · elast 2
-15%
Data protection officer
14.1K workers · exp 8 · elast 3.5
-7%
Office manager
14.0K workers · exp 7 · elast 2.5
-10%
Civil Service manager
12.2K workers · exp 7 · elast 3.5
-6%
Civil Service executive officer
11.4K workers · exp 7 · elast 2.5
-10%
Customer services manager
6.8K workers · exp 7 · elast 3.5
-6%
Baumol winners
Low exposure, positive outlook: trades and physical services benefiting from AI-driven wage inflation.
Cleaner
43.2K workers · exp 1 · elast 7.5
+10%
Delivery van driver
27.6K workers · exp 3 · elast 6.5
+5%
Care worker
24.8K workers · exp 2 · elast 6.5
+7%
Palliative care assistant
24.8K workers · exp 2 · elast 6.5
+7%
Residential support worker
24.8K workers · exp 2 · elast 6.5
+7%
Waiter
21.1K workers · exp 2 · elast 4.5
+3%
Chef
19.9K workers · exp 2 · elast 7.5
+9%
Nursing associate
13.3K workers · exp 3 · elast 6.5
+5%
Hairdresser
12.7K workers · exp 1 · elast 3.5
+3%
Carpenter
10.8K workers · exp 1 · elast 6.5
+9%
Largest occupations
The 20 roles that anchor South West's workforce.
| # | Role | Outlook |
|---|---|---|
| 1 | Admin assistant Administration | -15% |
| 2 | Cleaner Home Services | +10% |
| 3 | Customer service assistant Retail & Sales | -10% |
| 4 | Sales assistant Retail & Sales | -1% |
| 5 | Retail manager Retail & Sales | -4% |
| 6 | Primary school teacher Teaching & Education | -2% |
| 7 | Bank manager Business & Finance | -6% |
| 8 | Delivery van driver Delivery & Storage | +5% |
| 9 | Warehouse worker Delivery & Storage | +1% |
| 10 | Estates officer Administration | -1% |
| 11 | HGV driver Delivery & Storage | +1% |
| 12 | Care worker Home Services | +7% |
| 13 | Palliative care assistant Social Care | +7% |
| 14 | Residential support worker Social Care | +7% |
| 15 | Communication support worker Teaching & Education | -1% |
| 16 | Higher education lecturer Teaching & Education | -2% |
| 17 | Business project manager Business & Finance | +10% |
| 18 | Waiter Hospitality & Food | +3% |
| 19 | Network manager Computing & Digital | +10% |
| 20 | Counter service assistant Hospitality & Food | -3% |
Gender × zone cross-section
168.4K women in South West work in AI-exposed, demand-capped roles.
That is 15.8% of the region's female workforce in roles where exposure ≥ 7 and elasticity ≤ 4, the Anti-Jevons threshold. The region is 47.5% female overall, but the admin / clerical / customer-service pipelines that dominate this zone are historically female-led, so the zone itself skews that way.